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Guo, Jinxin; Xu, Xin; Xin, Tao – Journal of Educational Measurement, 2023
Missingness due to not-reached items and omitted items has received much attention in the recent psychometric literature. Such missingness, if not handled properly, would lead to biased parameter estimation, as well as inaccurate inference of examinees, and further erode the validity of the test. This paper reviews some commonly used IRT based…
Descriptors: Psychometrics, Bias, Error of Measurement, Test Validity
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Gökhan Iskifoglu – Turkish Online Journal of Educational Technology - TOJET, 2024
This research paper investigated the importance of conducting measurement invariance analysis in developing measurement tools for assessing differences between and among study variables. Most of the studies, which tended to develop an inventory to assess the existence of an attitude, behavior, belief, IQ, or an intuition in a person's…
Descriptors: Testing, Testing Problems, Error of Measurement, Attitude Measures
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M. Van Harskamp; S. De Maeyer; W. Sass; P. Van Petegem; J. Boeve-de Pauw – Environmental Education Research, 2025
There is a need for valid and reliable instruments to assess learning outcomes in education for sustainable development (ESD). Measurement invariance (MI) needs to be established before results of these instruments can be validly compared between groups. Despite its importance, establishing MI is an often overlooked validation step. To provide an…
Descriptors: Measurement, Sustainable Development, Error of Measurement, Questionnaires
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Philipp Sterner; Kim De Roover; David Goretzko – Structural Equation Modeling: A Multidisciplinary Journal, 2025
When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently, new methods have been developed based on exploratory factor analysis (EFA); most notably, as extensions of multi-group EFA, researchers introduced…
Descriptors: Error of Measurement, Measurement Techniques, Factor Analysis, Structural Equation Models
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Tong Wu; Stella Y. Kim; Carl Westine; Michelle Boyer – Journal of Educational Measurement, 2025
While significant attention has been given to test equating to ensure score comparability, limited research has explored equating methods for rater-mediated assessments, where human raters inherently introduce error. If not properly addressed, these errors can undermine score interchangeability and test validity. This study proposes an equating…
Descriptors: Item Response Theory, Evaluators, Error of Measurement, Test Validity
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Natalja Menold; Vera Toepoel – Sociological Methods & Research, 2024
Research on mixed devices in web surveys is in its infancy. Using a randomized experiment, we investigated device effects (desktop PC, tablet and mobile phone) for six response formats and four different numbers of scale points. N = 5,077 members of an online access panel participated in the experiment. An exact test of measurement invariance and…
Descriptors: Online Surveys, Handheld Devices, Telecommunications, Test Reliability
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Myoung-jae Lee; Goeun Lee; Jin-young Choi – Sociological Methods & Research, 2025
A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…
Descriptors: Probability, Least Squares Statistics, Regression (Statistics), Causal Models
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John Jerrim; Luis Alejandro Lopez-Agudo; Oscar David Marcenaro-Gutierrez – British Journal of Educational Studies, 2024
International large-scale assessments have gained much attention since the beginning of the twenty-first century, influencing education legislation in many countries. This includes Spain, where they have been used by successive governments to justify education policy change. Unfortunately, there was a problem with the PISA 2018 reading scores for…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Stella Y. Kim; Carl Westine; Tong Wu; Derek Maher – Journal of College Student Retention: Research, Theory & Practice, 2024
The primary purpose of this study is to validate a student engagement measure for its use in evaluation of a learning assistant (LA) program. A series of psychometric evaluations were made for both the original scale of Higher Education Student Engagement Scale (HESES) and its adapted version designed to be used in gauging the effectiveness of…
Descriptors: Learner Engagement, Teaching Assistants, Test Validity, Test Reliability
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Tülin Otbiçer Acar – Measurement: Interdisciplinary Research and Perspectives, 2024
The aim of this study is to compare the results of correlation coefficient estimation of reliability with those obtained through the Bland-Altman plot technique. The scale was first divided into two halves using three different approaches. A linear and high-level relationship was found between the scale scores obtained from the halved forms.…
Descriptors: High School Students, Measurement Techniques, Psychometrics, Comparative Testing
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Nicolas Pichot; Boris Forthmann; Eric Bonetto; Thomas Arciszewski; Nathalie Bonnardel; Sara Jaubert; Jean B. Pavani – Journal of Creative Behavior, 2024
The term "creative" is commonly used in everyday language and in academic discourse to discuss the nature of artistic and innovative productions. This usage inherently implies the existence of a variable of creativity that allows different creative works to be compared. The standard definition of creativity asserts that a production must…
Descriptors: Creativity, Test Construction, Test Validity, Productive Thinking
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Esra Sözer Boz – Education and Information Technologies, 2025
International large-scale assessments provide cross-national data on students' cognitive and non-cognitive characteristics. A critical methodological issue that often arises in comparing data from cross-national studies is ensuring measurement invariance, indicating that the construct under investigation is the same across the compared groups.…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
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Dandan Tang; Steven M. Boker; Xin Tong – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored contributing factors to this crisis, the issues related to analytical tools have received less attention. This study focuses on a widely used analytical tool -…
Descriptors: Test Validity, Factor Analysis, Replication (Evaluation), Social Science Research
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Annie Goerdt; Faith Miller; Danielle Dupuis; Meg Olson – Journal of Psychoeducational Assessment, 2024
School-based universal screening in the social, emotional, and behavioral (SEB) domains allows for the early identification of students in need of SEB support. Importantly, equitable assessment in universal screening for the SEB domains is critical to engage in accurate and ethical data-based decision-making. Measurement invariance is one method…
Descriptors: Error of Measurement, Screening Tests, Student Behavior, Elementary School Students
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Kathryn J. Greenslade; Julia K. Bushell; Emily F. Dillon; Amy E. Ramage – International Journal of Language & Communication Disorders, 2025
Background: Pragmatic communication difficulties encompass many distinct behaviours, including the use of vague and/or insufficient language, a common characteristic following traumatic brain injury (TBI) that negatively impacts psychosocial outcomes. Existing assessments evaluate pragmatic communication broadly, often with only one or two items…
Descriptors: Neurological Impairments, Head Injuries, Language Impairments, Language Tests
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